Wei Xu ✓

@cocoweixu · Atlanta, GA · joined 13 Jan 2011

CS professor @GeorgiaTech @gtcomputing @ICatGT @mlatgt. Evaluating & Improving LLMs (multilingual, reasoning, RL, multi-turn, privacy/safety, etc.)

12 648Followers

1 316Following

1 307Posts total

134.3KViews on collected posts

Postingan terbaru

Wei Xu ✓@cocoweixu21 Sep

I wonder how many ICLR abstracts will actually turn into full submissions this time, given that the NeurIPS notification comes after the ICLR 2027 abstract deadline. 2.1K views · 10 likes · 1 reposts · 1 replies Open on X →

Wei Xu ✓@cocoweixu1 Sep

Very excited about this EMNLP 2026 paper by my PhD student @Yaooo01, advancing key directions in our lab! long-context LLMs, agents, AI for healthcare & law 4K views · 45 likes · 0 reposts · 1 replies Open on X →

Wei Xu ✓@cocoweixu31 Aug

This is a great idea, especially given how polished and verbose AI-generated texts can be! 2.5K views · 14 likes · 0 reposts · 0 replies Open on X →

Wei Xu ✓@cocoweixu27 Aug

Glad to share that our paper Gavel was accepted to EMNLP 2026 Main! 🎉 We study frontier LLMs on legal case summarization with inputs exceeding 500K tokens. Models struggle beyond 256K tokens and are much more likely to omit key information than hallucinate. We also built https:

7.6K views · 50 likes · 9 reposts · 2 replies Open on X →

Wei Xu ✓@cocoweixu17 Aug

Updated CS 8803 "Large Language Model" class at @GeorgiaTech this year for 2026! The reading list spans pretraining, MoE, reasoning, RL & self-play, agents, long-context, test-time scaling, diffusion LMs, safety, interpretability, and more. 👉 https://t.co/KNSGptrJP1 🔗 https://

108.7K views · 1.5K likes · 253 reposts · 14 replies Open on X →

Wei Xu ✓@cocoweixu29 Jul

We're organizing the Workshop on Evaluation of Interactive Agents at NeurIPS 2026! Consider submitting your work (non-archival) and joining us in Atlanta. Topics include (not limited to): evaluation benchmarks, trajectory-level metrics, user/environment simulation, https://t.c

9.3K views · 77 likes · 11 reposts · 1 replies Open on X →

Dibandingkan akun berukuran sama

6 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan5 806akun ini924median untuk 10K–100K

Jangkauan, %45.91%akun ini3.62%median untuk 10K–100K

Interaksi, %0.89%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	5 806	924	6.28×
Jangkauan (tayangan ÷ pengikut)	45.91%	3.62%	12.7×
Tingkat interaksi	0.89%	1.52%	0.59×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

9.3K29 Jul

108.7K17 Aug

7.6K27 Aug

2.5K31 Aug

4K1 Sep

2.1K21 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.96%29 Jul

1.63%17 Aug

0.82%27 Aug

0.55%31 Aug

1.16%1 Sep

0.56%21 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes39.9%1 694 in total

Reposts6.5%274 in total

Replies0.4%19 in total

Quotes0.1%6 in total

Bookmarks53.0%2 249 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.